驾驶仿真论文趋势 2023–2026

闭环仿真

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,882 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

驾驶仿真论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部驾驶仿真论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 899 篇，第 12 / 18 页

  1. ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
  2. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
  3. ICLR 2024Accurate Forgetting for Heterogeneous Federated Continual Learning
  4. ICLR 2024Adaptive Regret for Bandits Made Possible: Two Queries Suffice
  5. ICLR 2024AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
  6. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
  7. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
  8. ICLR 2024AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
  9. ICLR 2024An Efficient Tester-Learner for Halfspaces
  10. ICLR 2024An Emulator for Fine-tuning Large Language Models using Small Language Models
  11. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
  12. ICLR 2024ASID: Active Exploration for System Identification in Robotic Manipulation
  13. ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
  14. ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
  15. ICLR 2024BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
  16. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
  17. ICLR 2024BENO: Boundary-embedded Neural Operators for Elliptic PDEs
  18. ICLR 2024Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
  19. ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
  20. ICLR 2024CausalLM is not optimal for in-context learning
  21. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
  22. ICLR 2024Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
  23. ICLR 2024ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
  24. ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
  25. ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
  26. ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
  27. ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
  28. ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
  29. ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
  30. ICLR 2024Differentiable Euler Characteristic Transforms for Shape Classification
  31. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
  32. ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
  33. ICLR 2024Diffusion Model for Dense Matching
  34. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
  35. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
  36. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
  37. ICLR 2024EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
  38. ICLR 2024Empirical Likelihood for Fair Classification
  39. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
  40. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
  41. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
  42. ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
  43. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
  44. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
  45. ICLR 2024FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
  46. ICLR 2024Fine-Tuning Language Models for Factuality
  47. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
  48. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
  49. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
  50. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查驾驶仿真在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "simulation-for-driving"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？
共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。
NeurIPS 2026 有多少篇驾驶仿真论文？
NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。
ICLR 2026 有多少篇驾驶仿真论文？
ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。
ICML 2026 有多少篇驾驶仿真论文？
ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。
CVPR 2026 有多少篇驾驶仿真论文？
CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。
哪个会议的驾驶仿真论文最多？
NeurIPS，2023–2026 年共 2,111 篇。

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